Characteristics of breast cancer patients at dr. Sardjito Hospital for early anticipation of neutropenia: Cross-sectional study. (January 2022)

• Record Type: Journal Article
• Authors: Fathoni, M. Ivan Ariful; Gunardi, ; Adi-Kusumo, Fajar; Hutajulu, Susanna Hilda; Purwanto, Ibnu
• Is Part Of: Annals of medicine and surgery. Volume 73(2022)
• Publication Date: 2022-01
• Subjects: Breast cancer -- Patient data -- Descriptive analysis -- Correlation analysis -- Neutropenia; Surgery -- Periodicals; Medicine -- Periodicals; General Surgery -- Periodicals; Education, Medical -- Periodicals; Periodicals; 617
• DOI: 10.1016/j.amsu.2021.103189
• Languages: English
• ISSNs: 2049-0801

Abstract

Abstract: The highest prevalence of breast cancer in Indonesia is in the Province of Yogyakarta. dr. Sardjito General Hospital has quite complete clinical data on breast cancer patients. Characteristics of the population in various regions in Indonesia are different from one another. This problem is the basis for doing this research. Statistical data analysis needs to be done in each area for better diagnosis and treatment of cancer. Data recording is carried out continuously during outpatient treatment at dr. Sardjito General Hospital. Data for breast cancer patients was taken from July 2018 to June 2020. The data obtained were grouped into four categories: laboratory investigation, socio-demographic, clinical examination, and pathology. Descriptive and correlation analysis aims to determine the characteristics of breast cancer patients seeking treatment at dr. Sardjito General Hospital and anticipate their possibility of developing neutropenia after chemotherapy. The results of the descriptive analysis are significant to determine patient characteristics and treatment steps that can be taken. Correlation analysis variables closely related to neutrophils included leucocyte count, lymphocyte, monocyte, albumin, age at first diagnosis, and height. These variables can be a severe concern of medical personnel before undergoing chemotherapy, especially lymphocytes, which have the largest (negative) correlation and can be an early sign of neutropenia. Highlights: Characteristics of the population in various regions in Indonesia are different from one another. Statistical data analysis needs to be done in each area for better diagnosis and treatment of cancer. The results of the descriptive analysis are essential to determine patient statistics and the treatment steps taken. The strong correlation with neutrophils are leukocytes, lymphocytes, monocytes, albumin, age, and height.